Module: Supervised Classification
(c) 2005 by O.Conrad
Menu: Grid > Discretisation > Classification
Description
Supervised Classification: Minimum Distance, Maximum Likelihood.

Parameters
NameTypeIdentifierDescriptionConstraints
Input
Grids Grid list (input)GRIDS
Training Areas Shapes (input)POLYGONS
Output
Class InformationTable (output)CLASSES
ClassificationGrid (output)RESULT
Distance/Probability (*)Grid (optional output)ML_PROBDependent on chosen method, these are the calculated minimum distances or the maximum probabilities.
Options
Class IdentifierTable fieldFIELD
MethodChoiceMETHODAvailable Choices:
[0] Minimum Distance
[1] Maximum Likelihood
NormaliseBooleanNORMALISEAutomatically normalise grids before classifying. Useful for minimum distance classification.
Probability Threshold (Percent)Floating pointML_THRESHOLDLet pixel stay unclassified, if maximum likelihood probability is less than threshold.Value Range: 0.000000 - 100.000000
(*) optional